IEEE Trans Image Process - Missing intensity interpolation using a kernel PCA-based POCS algorithm and its applications.

Tópicos

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Resumo

A missing intensity interpolation method using a kernel principal component analysis (PCA)-based projection onto convex sets (POCS) algorithm and its applications are presented in this paper. In order to interpolate missing intensities within a target image, the proposed method reconstructs local textures containing the missing pixels by using the POCS algorithm. In this reconstruction process, a nonlinear eigenspace is constructed from each kind of texture, and the optimal subspace for the target local texture is introduced into the constraint of the POCS algorithm. In the proposed method, the optimal subspace can be selected by monitoring errors converged in the reconstruction process. This approach provides a solution to the problem in conventional methods of not being able to effectively perform adaptive reconstruction of the target textures due to missing intensities, and successful interpolation of the missing intensities by the proposed method can be realized. Furthermore, since our method can restore any images including arbitrary-shaped missing areas, its potential in two image reconstruction tasks, image enlargement and missing area restoration, is also shown in this paper.

Resumo Limpo

miss intens interpol method use kernel princip compon analysi pcabas project onto convex set poc algorithm applic present paper order interpol miss intens within target imag propos method reconstruct local textur contain miss pixel use poc algorithm reconstruct process nonlinear eigenspac construct kind textur optim subspac target local textur introduc constraint poc algorithm propos method optim subspac can select monitor error converg reconstruct process approach provid solut problem convent method abl effect perform adapt reconstruct target textur due miss intens success interpol miss intens propos method can realiz furthermor sinc method can restor imag includ arbitraryshap miss area potenti two imag reconstruct task imag enlarg miss area restor also shown paper

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